Work / Taco Bell mobile ordering

Counters disappeared.

Cravings didn’t.

Designed a 0→1 mobile ordering experience for Taco Bell that makes it easier to browse, customize, order, and check out on mobile.

The goal was simple: help people go from craving to checkout without the experience feeling slow, confusing, or heavy.

KEY OUTCOMES

APP DOWNLOADS

~82K

In the first 17 days, strong early adoption following the launch of Taco Bell's mobile ordering app.

USER REVIEWS

~1.23K

Customers shared their feedback during the initial launch period.

AVERAGE RATING

4.7/5

Positive early feedback reflected a favourable response to the new ordering experience.

Just some snapshots what I would had

changed in the UI, this doesn’t adhere to

the official brand guidelines, but just out

of curiosity and too much coffee,

I just thought what if.

ROLE

UI/UX Designer

TIMELINE

June – August 2020

CONTRIBUTION

Product strategy · User research · Information architecture · UX design · UI design · Prototyping · Usability evaluation

Pre-login

Home

Menu

Customization

Cart

Order status

Rewards

01 - Two-minute version

A mobile ordering experience built for

speed, choice and ease

PROBLEM

COVID changed food ordering almost overnight. With foot traffic heavily affected, Taco Bell needed a way to support dine-in, takeaway, and delivery through one branded digital experience.

OUTCOME

~82K downloads in the first 17 days,

with ~1.23K reviews.

MOVE

Designed the 0→1 ordering journey from discovery to confirmation in June–August 2020.

CONSTRAINTS

Tight pandemic timeline, a highly customizable menu, multiple fulfillment modes, and the need to stay true to the Taco Bell brand.

02 - CONTEXT

Covid changed the way

people ordered food

Taco Bell had traditionally relied heavily on people visiting its restaurants.

Then COVID changed that behaviour quickly. Customers were moving toward delivery and takeaway, while food aggregators were becoming an even bigger part of the relationship between restaurants and their customers.

The challenge was bigger than simply putting the menu on a phone. The app had to make Taco Bell’s large, customizable menu easy to order while still feeling unmistakably like the brand.

03 - RESEARCH

What would make someone

use a brand app instead of an aggregator?

Before defining the experience, we looked at how people were ordering food during the pandemic and what established food apps were already doing well.

Our research included:

We also looked at the wider shift in food delivery during COVID and how restaurant brands were using offers, rewards, personalization, and direct ordering to build stronger relationships with customers.

Competitive reviews of products such as Domino’s, Chipotle, and Starbucks

Informal user conversations

& Social-media sentiment

Stakeholder discussions

Prototype testing

04 - KEY FINDINGS

Speed mattered,

but so did having a reason to come back

Three themes shaped the product.

People wanted

ordering to feel quick

Ordering food is a short, goal-driven task. Every unnecessary screen or decision makes it feel slower.

We set a goal of keeping the happy path under roughly 2.5 minutes.

01

A brand app needed to offer something aggregators could not

Offers, loyalty, easier reordering, deeper customization, and a stronger Taco Bell experience could give customers a reason to order directly.

02

Customization had to remain simple

Taco Bell offers deep customization, but showing every option at once would overwhelm mobile users. The challenge was keeping choice without making ordering feel like a form.

03

05 - DEFINING THE JOURNEY

Defining the experience

before designing the screens

The flows aligned the team before UI design, especially as customer behaviour was changing quickly.

Onboarding flow

Ordering flow

06 - Product principles

Effortless.

Accessible. Clear.

Three simple principles guided the experience.

Effortless

Common tasks should require as little work as possible.

Accessible

The product should remain understandable and usable across different users and needs.

Clear

The interface should show what matters now instead of overwhelming people with every option at once.

07 - ONE EXPERIENCE

Small patterns,

repeated consistently.

Across the app, we reused common patterns.

That consistency mattered because the product covered a long journey. The more familiar each interaction felt, the less people had to relearn as they moved through the app.

Across the app, we reused common patterns.

That consistency mattered because the product covered a long journey. The more familiar each interaction felt, the less people had to relearn as they moved through the app.

08 - PROTOTYPE TO LAUNCH

Testing the flow

before committing to the interface

Once the main structure was agreed, I built a high-fidelity prototype to test the complete ordering journey.

We focused on:

whether the flow was easy to understand

whether users could learn it quickly

how customization felt

how quickly an order could be completed

whether important information appeared at the right time

The feedback helped us simplify the flow before moving toward the final experience.

09 - OUTPUT

Features we included

that supported this build

Taco Bell offers deep customization, but showing every option at once would overwhelm mobile users. The challenge was keeping choice without making ordering feel like a form.

01 - RESTAURANT DISCOVERY

Let people know they can order before asking

them to sign up

People could check nearby locations, opening information, and available services without first committing to account creation.

This reduced unnecessary friction at the start of the journey.

02 - FULFILLMENT

Choose how you want to order before you start browsing

Instead of waiting until checkout to discover whether an order could be delivered or collected, customers could make that decision before building their cart.

03 - MENU DISCOVERY

A large menu that still feels easy to explore

The goal was not to reduce choice.

It was to make a large menu feel manageable on a small screen.

04 - PERSONALISATION

Your order, without the overload

Customization is one of the most important parts of the Taco Bell experience.

Instead of exposing every decision at once, options were grouped into smaller, understandable sections. Visual references for ingredients helped make selections easier to understand.

The result was a flow that kept Taco Bell’s flexibility without making ordering feel complicated.

05 - COME BACK TO YOUR FAVOURITES

“Recommended” + “Recently Ordered”

The goal was to reduce the friction between getting stuck with analysis-paralysis of what to eat every time you open the app and actually start building the cart.

07 - LOYALTY

Rewards inside the ordering experience

Loyalty stayed connected to ordering, making rewards easy to understand, track, and redeem without adding complexity.

08 - CART

Keep the final step focused

Checkout stays focused: review the order, confirm fulfillment and payment, apply rewards, and place the order.

The interface keeps the final stage focused on the information needed to place the order.

09 - CONFIRMATION

Clear about what

happens next

After payment, confirmation keeps order details, delivery information, status, and support in one place.

10 - OUTCOME

82K downloads

in the first 17 days

The app launched during a period when Taco Bell’s relationship with customers was rapidly moving from restaurants to phones.

82K

Downloads in 17 days

1.23K

User reviews

4.7/5

Average raiting

The app launched during a period when Taco Bell’s relationship with customers was rapidly moving from restaurants to phones.

MY REFLECTIONS

Speed is not only

about fewer screens

This project changed how I think about speed in consumer products.

A fast experience is not simply one with fewer taps.

It is one where people:

→ know what to do

→ understand their choices

→ feel confident moving forward.

Have a complex product

problem worth untangling?

Currently available for Senior Product Designer roles and focused systems

advisory across enterprise B2B fintech, maritime platforms, and high-scale

consumer applications.

Designed and crafted by Sanjeev Ojha.

Human-governed systems decisions supported by AI-assisted synthesis.

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sanjeev97ojha@gmail.com